In what scenarios is the ROC curve more appropriate to use than the precision/recall curve? 1. When the positive class is rare and/or the cost of false negatives is high. 2. When the goal is to maximize the F1 score. 3. When the positive class is not rare and/or the cost of false positives and false negatives is equal. 4. When the goal is to balance precision and recall.
In what scenarios is the ROC curve more appropriate to use than the precision/recall curve? 1. When the positive class is rare and/or the cost of false negatives is high. 2. When the goal is to maximize the F1 score. 3. When the positive class is not rare and/or the cost of false positives and false negatives is equal. 4. When the goal is to balance precision and recall.
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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Answer the given question with a proper explanation and step-by-step solution.
In what scenarios is the ROC curve more appropriate to use than the
precision/recall curve?
1. When the positive class is rare and/or the cost of false negatives is high.
2. When the goal is to maximize the F1 score.
3. When the positive class is not rare and/or the cost of false positives and false
negatives is equal.
4. When the goal is to balance precision and recall.
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